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Abstract:
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The application of statistical models has been used extensively to predict the outcomes of sporting competitions. However, for predicting point differential, the existence of a single model that is easily transferable across multiple sports is lacking. A primary reason exists because each sport can be defined by a unique set of characteristics. A characteristic that they all have in common though is that, for any given team, we can express their score as a fraction of the total score. We propose a family of Bayesian models based on that idea which can be easily transferable from sport to sport. Model will be demonstrated using various sports.
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